Translating motion into meaning

Transcription

1 Translating motion into meaning 125 Tech Park Drive Rochester, NY Ron Pettengill - CEO ronpettengill@motionsavvy.com Alex Opalka - CTO alexandr@motionsavvy.com

2 PROBLEM The Deaf are often unable to communicate in business transactions without an Interpreter. Companies are required to accommodate Deaf individuals by law. Enforcement is aggressive & expensive.

3 Communication tool for your Deaf customers & employees Works with tablets and phablets. Uses advanced machine learning to interpret in real time without a 3 rd Party Economical subscription model Available 24x7

4 Market Deaf individuals are 3% to 5% of the global population. In the US the Americans with Disabilities act requires accommodation of these individuals. Current use of translators and video conference tools is both expensive and cumbersome. Companies like Disney, Burger King and Wells Fargo see the deaf as an untapped market which can be captured by using MotionSavvy.

5 *VRI (Video Remote Interpretation) cost service based on $4.00 per minute. **Interpreter cost based on $100 per hour.

6 UNI Market Size for selected US Industries* Industry Company Total Sites Avg # Subs per Site Per Sub $ Annual 100% Banks 94,275 2 $350 $791,910,000 6,348 2 $350 $53,323,200 Fast Food 72,564 2 $350 $609,537,600 7,233 2 $350 $30,378,600 *This represents 100% market penetration across 4 industry segments. Foreign markets only increases the size. Government 10, $350 $420,000,000

7 Current Traction for Pilots in 2016/ Locations Pharmacy & Customer Service Guest Services Mortgage Banking Teller Positions Information Kiosks

8 Company Type Pro Con ZVRS Video Translation Person to Person translation Expensive. High Bandwidth required for mobile client. Video Translation Person to Person translation Translator may not understand transaction - Banking, Healthcare. Video Translation Person to Person translation Does not provide for normal communication. Machine translation No interpreter needed Requires PC & multiple sensors. Current array is unwieldy and expensive. Machine translation No interpreter. Uses off the shelf HW. Integrates to other systems. Domain Languages

9 Technology Innovation Real time machine learned recognition. Easy for organizations to add their own domain language. Uses off the shelf hardware that works in either a fixed or mobile position. Patents filed for and granted provisional status.

10 Pro Forma Budget *Assuming an annual churn rate of 8% on subscribers. Based upon a $350/month subscription fee assuming an average discount of 20%

11 Team CEO Ron Pettengill - Entrepreneur. 5 Startups - 2 public (NASDAQ & LSE) Machine Engineer Lead Ben Miller-Jacobson Co-Founder & CTO Alex Opalka Co-Founder & Marketing Ryan Hait-Campbell Software Engineer Daniel Mooney Co-Founder & Data Coordinator Wade Kellard

12 TimeLine - Milestones Wells Fargo Accelerator Seed Round A Investors: UNI version 1.0 Beta release Q Close Pilots Start Rochester Airport Project in Q4 Complete dictionary datasets. Finalize Seed B raise Close partnerships for development and vertical sales channels Create Domain Dictionary revenue line Get FCC approval for sale of service to subsidized customers Release SDK platform for licensing Expand use of product beyond just ASL interpretation - security, home monitoring, industrial, vehicle safety

13 Next Steps Company is Raising $1.0m 1.25m that will get us through Hire Systems Engineers to successfully complete Pilots. Recruit top Machine Learning developers. Implement social media sales strategy using Hubspot or Marketo.

14 Solving the problem of Compliance with the Americans with Disabilities Act. Traction with major companies & institutions Disney, Wegmans, Wells Fargo, Rochester Airport and more. The accessibility technology marketplace is a billion dollar opportunity.

15 MotionSavvy in the News!

16 Appendix

17 Current: 1. ZVRS 2. LeapMotion Future: 1. Vertical Consultants like KPMG, Accenture, etc. 2. Technical Partners like Samsung, IBM, ATT, etc. 3. NGO Partners like NAD, etc. 1. Speaking & Publishing 2. Security Clearances (potentially) 3. Certifications if necessary Intel, etc. 1. Compliance with US and International accessibility laws. 2. Much less expensive than current options. 3. A better, more natural communication experience. 4. Ability to customize dictionary in order to recognize enterprise specific terms, eg., Banking Products, Inventory names, etc. 1. Wells Fargo 2. Disney 3. Rochester Airport 4. Wegmans 5. CIA 6. CNB 7. City of Rochester * The first customers are PoC w/ high touch. Except for CIA which is a data/sw license. 1. Primary 1. Banking 2. Resorts 3. Supermarkets 4. Government 5. Airports 2. Secondary 1. Healthcare 2. Retail 3. Fast Food 4. Education 3. SDK Licensing Sales 1. Machine Learning engineers 2. Systems Engineers 3. Computational Linguists 4. UI/UX engineers 5. Sales & Marketing 1. Direct using social media and outreach 2. Indirect via Key Partners Majority of costs will be direct labor (developers), Dataset infrastructure cost (hosting), Sales & Marketing. Run as a SaaS at $350/month per unit subscribed. Recurring revenue from model based on monthly, quarterly, annual subscription contract. We will also provide an SDK in 2017 that will allow companies to build motion based interfaces.

18 PwD* Market Magic Quadrant (by 5 Quadrant Analytics) We provide accessibility technology which provides an important function to the deaf community - the ability to be understood by the hearing. *PwD = People with Disabilities